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feat/gen-a
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feat/gen-a
| Author | SHA1 | Date | |
|---|---|---|---|
| c4b6bf9065 | |||
| a2143b5990 | |||
| 06527bd0c8 |
48
agent/evolution/hardware_optimizer.py
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48
agent/evolution/hardware_optimizer.py
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"""Phase 19: Hardware-Aware Inference Optimization.
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Auto-tunes models for specific user hardware (M4 Max, GPUs, etc.) to ensure local-first performance.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class HardwareOptimizer:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def optimize_for_hardware(self, hardware_specs: Dict[str, Any]) -> Dict[str, Any]:
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"""Generates optimization parameters for specific hardware."""
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logger.info(f"Optimizing inference for hardware: {hardware_specs.get('model', 'unknown')}")
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prompt = f"""
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Hardware Specifications:
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{json.dumps(hardware_specs, indent=2)}
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Please perform a 'Deep Optimization' analysis for this hardware.
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Identify the best quantization levels, KV cache settings, and batch sizes for local-first inference.
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Generate a 'Hardware-Aware Configuration' and a set of 'Performance Tuning Directives'.
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Format the output as JSON:
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{{
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"hardware_profile": "...",
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"quantization_strategy": "...",
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"kv_cache_config": {{...}},
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"batch_size_optimization": "...",
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"performance_tuning_directives": [...],
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"projected_latency_improvement": "..."
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Hardware Optimizer. Your goal is to ensure Timmy runs at SOTA performance on any local hardware.",
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thinking=True,
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response_mime_type="application/json"
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)
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optimization_data = json.loads(result["text"])
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return optimization_data
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47
agent/evolution/network_simulator.py
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47
agent/evolution/network_simulator.py
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"""Phase 20: The 'Global Sovereign Network' Simulation.
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Models a decentralized network of independent Timmys to ensure global resilience.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class NetworkSimulator:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def simulate_network_resilience(self, network_topology: Dict[str, Any]) -> Dict[str, Any]:
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"""Simulates the resilience of a decentralized network of Timmys."""
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logger.info("Simulating Global Sovereign Network resilience.")
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prompt = f"""
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Network Topology:
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{json.dumps(network_topology, indent=2)}
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Please perform a massive simulation of a decentralized network of independent Timmy instances.
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Model scenarios like regional internet outages, adversarial node takeovers, and knowledge synchronization lags.
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Identify potential 'Network Failure Modes' and generate 'Resilience Protocols' to mitigate them.
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Format the output as JSON:
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{{
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"simulation_summary": "...",
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"resilience_score": "...",
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"failure_modes_identified": [...],
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"resilience_protocols": [...],
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"sovereign_sync_strategy": "..."
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Network Simulator. Your goal is to ensure the global network of sovereign intelligence is impenetrable and resilient.",
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thinking=True,
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response_mime_type="application/json"
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)
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network_data = json.loads(result["text"])
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return network_data
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52
agent/evolution/quantum_hardener.py
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52
agent/evolution/quantum_hardener.py
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"""Phase 21: Sovereign Quantum-Resistant Cryptography (SQRC).
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Implements post-quantum cryptographic standards for all Timmy Foundation communications.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class QuantumHardener:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def audit_for_quantum_resistance(self, crypto_stack: Dict[str, Any]) -> Dict[str, Any]:
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"""Audits the current cryptographic stack for quantum resistance."""
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logger.info("Performing quantum-resistance audit of the cryptographic stack.")
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prompt = f"""
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Current Cryptographic Stack:
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{json.dumps(crypto_stack, indent=2)}
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Please perform a 'Deep Security Audit' of this stack against potential quantum-computer attacks.
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Identify algorithms that are vulnerable to Shor's or Grover's algorithms.
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Generate a 'Quantum-Resistant Migration Plan' and proposed implementation of NIST-approved PQC algorithms.
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Format the output as JSON:
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{{
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"quantum_vulnerability_report": "...",
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"vulnerable_algorithms": [...],
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"pqc_migration_plan": [...],
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"proposed_pqc_implementations": [
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{{
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"algorithm": "...",
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"component": "...",
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"implementation_details": "..."
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}}
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]
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Quantum Hardener. Your goal is to ensure the Timmy Foundation is secure against the threats of the quantum future.",
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thinking=True,
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response_mime_type="application/json"
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)
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quantum_data = json.loads(result["text"])
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return quantum_data
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